Our PhD and MS level biostatisticians are highly trained in a range of statistical and analytic methods, including:
- Longitudinal data analysis
- ANOVA, regression, logistic regression
- Bayesian data analyses
- Sample size and power estimation
- Statistical genomics
- Survival analyses
- Principal component and factor analysis
- Path modeling
- Structural equation modeling
- Cluster analysis
- Complex survey data analysis
- Statistical simulations and graphics
- Profile analysis
- Gene expression data analysis
- Mixed effects models
- Generalized Estimating Equations (GEE)
- Propensity Score Matching (PSM)
- Evaluation of medical tests for classification and prediction
- Estimation of median lethal doses (LD50)/quantal dose-response curves
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Biostatisticians & Epidemiologists
Vikki G. Nolan, DSc, MPH Assistant Professor of Epidemiology, University of Memphis She received her MPH from Yale University and her doctoral degree from Boston University School of Public Health. Dr. Nolan’s primary research interests are sickle cell disease, a field she worked in for six years while at Boston University, and cancer epidemiology, which she specialized in while employed at St. Jude Children’s Research Hospital prior to joining the University of Memphis faculty. In addition to her primary research interests, she is interested in and has participated in research around genetics, physical fitness, aging, community health, and infectious diseases.
Śaunak Sen, PhD Professor and Chief of Biostatistics, Preventive Medicine Śaunak Sen, Phd, is Professor and Chief of Biostatistics in the Department of Preventive Medicine at the University of Tennessee Health Science Center. His specialties are statistical genetics and the analysis of high-dimensional data. He has contributed to statistical and computational methods for genetic analysis in model organism and admixed populations. He obtained his PhD from the University of Chicago; after postdoctoral stints at Stanford University and the Jackson Laboratory, he spent 12 years on the faculty at UCSF, before joining UTHSC in 2015. He has served on grant review panels for NIH and other agencies; he is an associate editor for the journal Genetics.